---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter15_sftsd2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# collapse_gemma-2-2b_hs2_replace_iter15_sftsd2

This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5155
- Num Input Tokens Seen: 4641384

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log        | 0      | 0    | 1.3909          | 0                 |
| 1.6014        | 0.0511 | 5    | 1.2802          | 240072            |
| 0.8389        | 0.1021 | 10   | 1.3196          | 475816            |
| 0.3993        | 0.1532 | 15   | 1.5512          | 718216            |
| 0.2213        | 0.2042 | 20   | 1.7697          | 960224            |
| 0.094         | 0.2553 | 25   | 2.0740          | 1203544           |
| 0.0569        | 0.3063 | 30   | 2.2531          | 1446408           |
| 0.0275        | 0.3574 | 35   | 2.4064          | 1688376           |
| 0.0254        | 0.4084 | 40   | 2.4999          | 1928088           |
| 0.0235        | 0.4595 | 45   | 2.5458          | 2169296           |
| 0.0205        | 0.5105 | 50   | 2.5605          | 2407520           |
| 0.0258        | 0.5616 | 55   | 2.5508          | 2644816           |
| 0.0212        | 0.6126 | 60   | 2.5421          | 2884400           |
| 0.0214        | 0.6637 | 65   | 2.5326          | 3119768           |
| 0.0202        | 0.7147 | 70   | 2.5302          | 3353920           |
| 0.0203        | 0.7658 | 75   | 2.5297          | 3597696           |
| 0.0232        | 0.8168 | 80   | 2.5191          | 3830680           |
| 0.0198        | 0.8679 | 85   | 2.5112          | 4073168           |
| 0.0212        | 0.9190 | 90   | 2.5135          | 4300904           |
| 0.0194        | 0.9700 | 95   | 2.5167          | 4546272           |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1